A metabolic clock uses AI to reveal biological-age shifts and early disease risk


 Researchers have developed a new AI-driven "metabolic clock" that assesses biological aging based on metabolic profiles rather than just chronological years. Published in MedicalXpress, the study details how the model analyzes blood biomarkers to determine the "age" of a person's metabolism.

Interestingly, the AI found that specific metabolic "ages" correlate strongly with the risk of developing age-related diseases like diabetes and heart conditions years before symptoms appear. This tool could serve as an early warning system, prompting lifestyle interventions for patients whose "metabolic clock" is ticking faster than their actual age. It represents a shift toward preventative longevity medicine, using AI to quantify exactly how fast—and how well—we are aging.

Read the original article at: https://medicalxpress.com/news/2025-09-metabolic-clock-early-disease-aging.html

 

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